Springer Integrating Artificial Intelligence and IoT for Advanced Health Informatics: AI in the Healthcare Sector (Internet of Things)

Product Description The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing. From the Back Cover The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing. About the Author Carmela Comito is a Research Scientist at the Institute of High Performance Computing and Networking of the Italian National Research Council (ICAR-CNR), Italy. She received her Master’s degree in Computer Engineering and her Ph.D. in Systems and Computer Engineering from the University of Calabria, Italy. In 2006 she was a visiting researcher at the School of Computer Science of the University of Manchester, UK, and in 2017 she was a visiting researcher at LIRMM, University of Montpellier, France. She is adjunct professor at University of Calabria. She co-authored over 80 papers in international journals, conference proceedings, and edited volumes. She served as a chair, program committee member and reviewer of several international conferences. Her research interests include artificial intelligence, big data analysis and mining, mobility mining, social network data analysis and mining, health informatics. She was the organizer and program chair of the International Workshop on Social Media Analytics for Healthcare (SMA4H), held in conjunction with Web Intelligence Conference (WI) in 2018, 2019 and 2020. She was the organizer and program chair of the special session “Machine Learning in Health” at the IEEE International Conference on Machine Learning and Applications (IEEE ICMLA) in 2019 and 2020. She was the organizer and program chair of the First International Workshop on Artificial Intelligence for HEaLth, PersonaLized MedIcine aNd WEllbeing (HELPLINE), held in conjunction with the 24th European Conference on Artificial Intelligence (ECAI) 2020. Agostino Forestiero is researcher at the Institute for High Performance Computing and Networking of National Research Council of Italy, (ICAR-CNR), Cosenza, since 2010. He received his Ph.D. in Computer Engineering (2007) and the Master Degree in Computer Engineering (2002) from the University of Calabria. He published more than 80 scientific papers on international conferences and journals among which IEEE/ACM TON, IEEE TEVC, IEEE TGCN, Information Sciences, FGCS and ACM TAAS. His research interests include Artificial Intelligence, Social mining, eHealth, Cloud Computing, Distributed systems, Swarm Intelligence, Internet of Things, Multiagent syst